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Computational analysis of user experience and customer satisfaction with mobile food delivery services: Evidence from big data approaches

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References

2009Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model1,265 cited
2019Why do people use food delivery apps (FDA)? A uses and gratification theory perspective612 cited
2018Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews497 cited
2019Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model208 cited
2021Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior145 cited
2020Customers' perceived value and dining choice through mobile apps in Indonesia139 cited
2022Deep learning model based on expectation-confirmation theory to predict customer satisfaction in hospitality service105 cited
2021Factors Influencing Customer Decisions to Use Online Food Delivery Service during the COVID-19 Pandemic104 cited
2019Beyond coolness: Predicting the technology adoption of interactive wearable devices103 cited
2019Understanding the diffusion and adoption of Bitcoin transaction services: The integrated approach88 cited
2021Adoption of mobile food ordering apps for O2O food delivery services during the COVID-19 outbreak84 cited
2020User Familiarity and Satisfaction With Food Delivery Mobile Apps75 cited
2019Motivations for customer revisit behavior in online review comments: Analyzing the role of user experience using big data approaches

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75 cited

2020Who will be your next customer: A machine learning approach to customer return visits in airline services68 cited

2019The role of satisfaction on customer reuse to airline services: An application of Big Data approaches56 cited

2021Food delivery apps (FDAs) in Asia: an exploratory study across India and the Philippines51 cited

Cited by

2024Interaction and Design Barriers for Older Adults in Food Delivery Apps: A Usability Study10 cited